Resumen

ANOUAR NAOUI, Mohammed. Transfer learning approach based for skin cancer detection. RCCI [online]. 2022, vol.16, n.4, pp. 1-17.  Epub 01-Dic-2022. ISSN 2227-1899.

Nowadays skin cancer is increasing due to several factors. Cancer detection has become an important research field. Several research proposed models, algorithm to detect cancer from image. Image classification is an effective tool to solve cancer classification problems.

This paper proposed a transfer learning approach based for cancer detection. Authors used different transfer learning models Resnet50, Vgg16, Vgg19 InceptionV3, MobileNetV2 and CNN model. After trained these models. The result obtained by InceptionV3 0.98 Resnet50 0.97 Vgg19 0.92 and Vgg16 0.89 are the best result compared to CNN model 0.78. This indicates the importance of transfer learning.

Palabras clave : Skin Cancer; Image Classification; Deep Learning; Transfer Learning.

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